## BigID: The Only Platform for a Secure AI Data Pipeline

AI models are only as good as the data that trains them. Most pipelines are messy, incomplete, or noncompliant — putting accuracy, privacy, and safety at risk. BigID helps organizations build secure AI data pipelines by:

- **Classifying** structured and unstructured data (including code, chat, and logs) by sensitivity
- **Categorizing** datasets with business taxonomies for better context
- **Cataloging** with a unified, searchable metadata index
- **Curating** training datasets with semantic search for relevance and quality
- **Cleansing** and redacting sensitive or toxic data before training
- **Compliance-checking** datasets against global regulations and internal policies
- **Controlling** staged data pipelines with policy guardrails and governance

### Classify

Automatically scan structured and unstructured data — from databases and data lakes to chat logs, code repositories, and files — and tag by sensitivity and type.

- Go beyond samples to scan petabytes at scale
- Detect PII, PHI, financial data, and more
- Detect and inventory AI Models

### Categorize

Apply business taxonomies and labels for context so AI knows _what_ the data is and _how_ it should be used.

- Align datasets with internal policies and business rules
- Standardize naming conventions across environments

### Catalog

Build a searchable metadata index that makes all AI-ready datasets visible and accessible.

- Centralize metadata across structured + unstructured sources
- Eliminate duplication and blind spots

### Curate

Use semantic search and similarity clustering to assemble the _right_ datasets for training and testing AI models.

- Identify related or similar documents for richer training sets
- Remove irrelevant or low-value data automatically

### Cleanse

Redact sensitive data before it ever reaches AI models.

- Protect personal, regulated, or toxic data at ingestion
- Standardize data quality to improve model accuracy

### Compliance

Validate datasets against regulatory frameworks and internal governance policies.

- Ensure training data aligns with GDPR, CPRA, EU AI Act, NIST AI RMF, and more
- Automate policy enforcement on pipeline inputs

### Control

Enforce guardrails on staged AI training data pipelines to reduce risk and improve reliability.

- Block unapproved datasets from entering the pipeline
- Monitor and govern data usage throughout the lifecycle

### Scale

Operate across petabytes of enterprise data, not just limited samples.

- Continuous scanning with low-latency impact
- Support for multi-cloud, SaaS, and on-prem data

### Unify

Manage every step of the pipeline in one platform: discovery, classification, cleansing, compliance, and control.

- Consolidate point tools into a single AI data pipeline solution
- Provide one source of truth for AI data governance

## Build Smarter AI with Secure Data Pipelines

Train AI on trusted data — and keep accuracy, compliance, and control.